​The Role: AI Design Analyst

Location: Leeds, UK

Position Type: Contract Inside IR35

Remote work option Available: Hybrid – 3 Days Onsite

Job Description:

Key responsibilities:

• Assess and shape AI and Copilot Use Cases aligned to strategic business objectives, shaping them into well‑defined proposals with clear value hypotheses and measurable success criteria.

• Engage with business teams to conduct deep analysis of business problems, workflows, processes and decision points to determine where AI can improve outcomes, efficiency or customer experience.

• Design AI‑enabled workflows, prompt patterns, user interactions and human‑in‑the‑loop models that maximise safety, transparency and user trust.

• Assess solution feasibility by evaluating data readiness, technical constraints, ethical considerations, compliance requirements and operational impacts.

• Map end‑to‑end processes, decision points, data dependencies and required human oversight.

• Assess feasibility, data readiness, ethical considerations and AI‑specific risks.

• Design AI‑enabled workflows, prompts and user experiences for Copilot scenarios.

• Support experimentation, prototyping and MVP definition with delivery teams.

• Ensure responsible AI principles (e.g., transparency, explainability, ISO42001) are incorporated into all designs

• Support experimentation and prototyping by defining MVP scope, evaluation criteria, testing parameters and adoption-readiness indicators.

• Engage with colleagues across the business to capture user perspectives, refine user needs, and ensure solutions align to real operational challenges and behaviours.

• Ensure responsible AI principles are embedded from design, including explainability, traceability, fairness, appropriate safeguards and risk‑informed checks.

• Provide structured analysis to support business cases, investment decisions, risk assessments, and prioritisation discussions at AI governance forums.

• Collaborate with teams to ensure designs are implementable, sustainable and aligned to enterprise architecture.

• Maintain a library of design artefacts, patterns and re‑usable assets to support repeatability and uplift design maturity across the AI Foundry.

• Managing escalations supporting the wider Data & AI Leadership team.
  

Key skills/knowledge/experience:

• Translate Divisional priorities into plans and deliverables to deliver overall Group strategic priorities

• Build the capability & capacity of functional resources to drive sustained commercial success

• Interpret & communicate the priorities for the Function, motivating and developing a high performing team

• Own functional priorities, applying specialist expertise to put the customer at the heart of everything and drive a profitable business

• Initiate and develop critical external and internal relationships which create value, collaborating to deliver commercial and customer priorities.

• Role model YBS Values, champion diversity and challenge behavior contrary to the Values

• Identify, define & oversee management of risks associated with delivery across YBS

• Uphold corporate legal & regulatory responsibilities

• Implement and manage transformation activity & harness innovation to create a high performing & sustainable business

Person specification: I.e., negotiating, client facing, communication, assertive, team leading/team member skills, supportive.

Functional/Technical (Role Specific)

Essential

• Higher education qualification (or equivalent experience) in Ethics, Law, Risk Management, Social Sciences, Data/Computer Science or relevant field

• Proven experience working in digital, data or AI programmes in complex or regulated environments.

• Skilled at mapping processes, decision flows and user journeys to identify where AI, automation or Copilot can add value.

• Understanding of core AI concepts including LLMs, prompt engineering, automation, decision support and responsible AI.

• Experience assessing data quality, readiness, lineage and feasibility for AI‑enabled solutions.

• Ability to design end‑to‑end AI workflows including prompts, orchestration, guardrails and human‑in‑the‑loop models.

• Skilled in user research, facilitation, co‑design and requirements‑gathering workshops.

• Working knowledge of Copilot and Power Platform as well as Service Design/UX.

• Working knowledge of Microsoft Azure AI Fundamentals

• Excellent stakeholder management and communication skills, including senior‑level engagement.

• Commercial awareness and a value‑driven mindset.

• Familiarity with responsible AI and risk‑aware delivery practices.

• Familiarity with AI ethics, fairness, transparency and accountability principles

• Ability to translate complex technical and regulatory concepts into practical guidance

• Use of professional networks and external influencers with clear evidence of learning and development to build and maintain skills and expertise.

• Ability to be flexible and adaptable with the pace of technology and AI change.